Contributors | Affiliation | Role |
---|---|---|
Church, Matthew J. | University of Hawai'i (UH) | Principal Investigator |
Letelier, Ricardo | Oregon State University (OSU-CEOAS) | Co-Principal Investigator |
Viviani, Donn | University of Hawai'i (UH) | Contact |
Switzer, Megan | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This data was used in Viviani et al (2018). For related research of experimental work done on some of the same cruises and drawn from some of the same experiments but reporting different parameters, see Bottjer et al (2014).
Rates of primary production were assessed using the 14C-bicarbonate incorporation technique. Rates of bacterial production were assessed using incorporation of 3H-leucine. Whole near-surface seawater was collected into acid-washed 20 L carboys. Control carboys were bubbled with air; treatment carboys were bubbled with a mixture of air and CO2, to increase the pCO2 to either ~750 or 1100 µatm. Sampling of each time point was conducted before dawn, experiments lasted between 2 and 5 days. Water from each carboy was subsampled into acid washed 500 mL polycarbonate bottles for primary production rate measurements. To each bottle, was then added ~1.85 MBq 14C-bicarbonate. Water from each carboy was also collected in an opaque polyethylene amber bottles and then subsampled into six 1.5 mL microcentrifuge tubes for bacterial production rate measurements. Each tube was then inoculated with 3H-leucine to a final concentration of 20 nmol L-1. Three tubes from each carboy were incubated in the dark (in a opaque cloth bag) and three in the light. Time zero blanks were immediately subsampled from each amber bottle, by aliquoting 1.5 mL of seawater into 2 mL microcentrifuge tubes each containing 100 µL of 100% TCA. Following addition of radioactive substrates, the primary production bottles and bacterial production tubes were placed in shaded (~50% irradiance) surface seawater-cooled incubators for the duration of the photoperiod.
After sunset, the total radioactivity added to each primary production sample bottle was determined by subsampling 250 µL aliquots of seawater into scintillation vials containing 500 µL of β-phenylethylamine. 100 mL from each 500 mL sample bottle was filtered at low vacuum (<50 mm Hg) onto 25 mm diameter, 0.2 porosity polycarbonate membrane filters. Filters were stored frozen in 20 mL scintillation vials until analysis. Analysis consisted of acidification via addition of 1 mL of 2 N hydrochloric acid, and passively venting at least 24 hours in a fume hood to remove all inorganic 14C. Addition of 10 mL Ultima Gold LLT liquid scintillation cocktail and counting on a Perkin Elmer 2600 liquid scintillation counter completed the primary production analysis.
After sunset, 100 µL of 100% TCA was added to each microcentrifuge tube. The microcentrifuge tubes were frozen (-20°C) for subsequent processing, following the procedures described in Smith and Azam 1992.
Samples for the determination of dissolved inorganic carbon and total alkalinity were collected from each carboy and analyzed according to the protocols of the Hawaii Ocean Time-series (Dore et al. 2009; Winn et al. 1998). DIC and TA samples were collected into precombusted 300 mL borosilicate bottles. Care was taken to avoid introduction of air bubbles into samples during filling; bottles were allowed to overflow three times during filling. Once filled, samples were immediately fixed with 100 µL of a saturated solution of mercuric chloride; bottles were capped with a grease seal, and stored in the dark for later analysis.
Samples for measurement of fluorometric chlorophyll a were collected according to the protocols of the Hawaii Ocean Time-series; analysis was performed following Letelier et al. (1996).
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726342.csv (Comma Separated Values (.csv), 8.71 KB) MD5:d6920bd0cbb5f02007c6f83e6e89b940 Primary data file for dataset ID 726342 |
Parameter | Description | Units |
PP_num_obs_750uatm_pco2_gt_0pt2um | number of samples used in calculation of PP rate mean and standard deviation | unitless |
PP_mean_1100uatm_pco2_gt_0pt2um | mean 14C-Primary Production rate from 0.2 micron filters incubated at 1100 microatm pCO2 | micromol C/liter/day |
PP_std_dev_1100uatm_pco2_gt_0pt2um | standard deviation of 14C-Primary Production rate from 0.2 micron filters incubated at 1100 microatm pCO2 | micromol C/liter/day |
PP_num_obs_1100uatm_pco2_gt_0pt2um | number of samples used in calculation of PP rate mean and standard deviation | unitless |
dissolved_inorganic_carbon_mean | mean dissolved inorganic carbon of seawater used for experimental control conditions | micromol/kilogram seawater |
dissolved_inorganic_carbon_stdev | standard deviation of dissolved inorganic carbon of seawater used for experimental control conditions | micromol/kilogram seawater |
dissolved_inorganic_carbon_num_obs | number of samples used in calculation of dissolved inorganic carbon | unitless |
dissolved_inorganic_carbon_750uatm_pco2_mean | mean dissolved inorganic carbon of seawater used for experimental 750 microatm pCO2 treatments | micromol/kilogram seawater |
dissolved_inorganic_carbon_750uatm_pco2_stdev | standard deviation of dissolved inorganic carbon of seawater used for experimental 750 microatm pCO2 treatments | micromol/kilogram seawater |
dissolved_inorganic_carbon_750uatm_pco2_num_obs | number of samples used in calculation of dissolved inorganic carbon | unitless |
dissolved_inorganic_carbon_1100uatm_pco2_mean | mean dissolved inorganic carbon of seawater used for experimental 1100 microatm pCO2 treatments | micromol/kilogram seawater |
dissolved_inorganic_carbon_1100uatm_pco2_stdev | standard deviation of dissolved inorganic carbon of seawater used for experimental 1100 microatm pCO2 treatments | micromol/kilogram seawater |
dissolved_inorganic_carbon_1100uatm_pco2_num_obs | number of samples used in calculation of dissolved inorganic carbon | unitless |
total_alkalinity_mean | mean total alkalinity of seawater used for experimental control conditions | microequivalents/kilogram seawater |
total_alkalinity_stdev | standard deviation of total alkalinity of seawater used for experimental control conditions | microequivalents/kilogram seawater |
total_alkalinity_num_obs | number of samples used in total alkalinity | unitless |
total_alkalinity_750uatm_pco2_mean | mean total alkalinity of seawater used for experimental 750 microatm pCO2 treatments | microequivalents/kilogram seawater |
total_alkalinity_750uatm_pco2_stdev | standard deviation of total alkalinity of seawater used for experimental 750 microatm pCO2 treatments | microequivalents/kilogram seawater |
total_alkalinity_750uatm_pco2_num_obs | number of samples used in calculation of total alkalinity | unitless |
total_alkalinity_1100uatm_pco2_mean | mean total alkalinity of seawater used for experimental 1100 microatm pCO2 treatments | microequivalents/kilogram seawater |
total_alkalinity_1100uatm_pco2_stdev | standard deviation of total alkalinity of seawater used for experimental 1100 microatm pCO2 treatments | microequivalents/kilogram seawater |
total_alkalinity_1100uatm_pco2_num_obs | number of samples used in calculation of total alkalinity | unitless |
chlorophyll | mean chlorophyll a in experimental controls | micrograms/liter |
chlorophyll_stdev | standard deviation of chlorophyll a in experimental controls | micrograms/liter |
chlorophyll_num_obs | number of samples used to calculate chlorophyll a mean and standard deviation | unitless |
chlorophyll_750uatm_pco2 | mean chlorophyll a in 750 microatm pco2 treatments | micrograms/liter |
chlorophyll_750uatm_pco2_stdev | standard deviation of chlorophyll a in 750 microatm pco2 treatments | micrograms/liter |
chlorophyll_750uatm_pco2_num_obs | number of samples used to calculate chlorophyll a mean and standard deviation | unitless |
chorophyll_1100uatm_pco2 | mean chlorophyll a in 1100 microatm pco2 treatments | micrograms/liter |
chorophyll_1100uatm_pco2_stdev | standard deviation of chlorophyll a in 1100 microatm pco2 treatments | micrograms/liter |
chorophyll_1100uatm_pco2_num_obs | number of samples used to calculate chlorophyll a mean and standard deviation | unitless |
leuc_3H_light_incorp_mean | mean 3H-Leucine (light incubated) incorporation rates | picomol leucine/liter/hour |
leuc_3H_light_incorp_stdev | standard deviation 3H-Leucine (light incubated) incorporation rates | picomol leucine/liter/hour |
leuc_3H_light_num_obs | number of samples used in calculation of 3H-leucine incorporation rate mean and standard deviation | unitless |
leuc_3H_light_incorp_mean_750uatm_pco2 | mean 3H-Leucine (light incubated) incorporation rates at 750 microatm pCO2 | picomol leucine/liter/hour |
leuc_3H_light_incorp_std_dev_750uatm_pco2 | standard deviation 3H-Leucine (light incubated) incorporation rates at 750 microatm pCO2 | picomole leucine/liter/hour |
leuc_3H_light_num_obs_750uatm_pco2 | number of samples used in calculation of 3H-leucine incorporation rate mean and standard deviation | unitless |
leuc_3H_light_incorp_mean_1100uatm_pco2 | mean 3H-Leucine (light incubated) incorporation rates at 1100 microatm pCO2 | picomol leucine/liter/hour |
leuc_3H_light_incorp_std_dev_1100uatm_pco2 | standard deviation 3H-Leucine (light incubated) incorporation rates at 1100 microatm pCO2 | picomol leucine/liter/hour |
leuc_3H_light_num_obs_1100uatm_pco2 | number of samples used in calculation of 3H-leucine incorporation rate mean and standard deviation | unitless |
leuc_3H_dark_incorp_mean | Mean 3H-Leucine (dark incubated) incorporation rates | picomol leucine/liter/hour |
leuc_3H_dark_incorp_std_dev | standard deviation 3H-Leucine (dark incubated) incorporation rates | picomol leucine/liter/hour |
leuc_3H_dark_num_obs | number of samples used in calculation of 3H-leucine incorporation rate mean and standard deviation | unitless |
leuc_3H_dark_incorp_mean_750uatm_pco2 | mean 3H-Leucine (dark incubated) incorporation rates at 750 microatm pCO2 | picomol leucine/liter/hour |
leuc_3H_dark_incorp_std_dev_750uatm_pco2 | standard deviation 3H-Leucine dark incubated) incorporation rates at 750 microatm pCO2 | picomol leucine/liter/hour |
leuc_3H_dark_num_obs_750uatm_pco2 | number of samples used in calculation of 3H-leucine incorporation rate mean and standard deviation | unitless |
leuc_3H_dark_incorp_mean_1100uatm_pco2 | mean 3H-Leucine (dark incubated) incorporation rates at 1100 microatm pCO2 | picomol leucine/liter/hour |
leuc_3H_dark_incorp_std_dev_1100uatm_pco2 | standard deviation 3H-Leucine dark incubated) incorporation rates at 1100 microatm pCO2 | picomol leucine/liter/hour |
leuc_3H_dark_num_obs_1100uatm_pco2 | number of samples used in calculation of 3H-leucine incorporation rate mean and standard deviation | unitless |
cruise_id | cruise identification number | unitless |
cast | cast number | unitless |
date | Date sampling began | unitless |
year | Year of sample | unitless |
month | month of sample | unitless |
day | day of sample | unitless |
lat | latitude; negative denotes South | decimal degrees |
lon | longitude; negative denotes West | decimal degrees |
depth | depth from which sample was collected | meters |
PP_mean_gt_0pt2um | mean 14C-Primary Production rate from 0.2 micron filters | micromol C/liter/day |
PP_std_dev_gt_0pt2um | standard deviation of 14C-Primary Production rate from 0.2 micron filters | micromol C/liter/day |
PP_num_obs_gt_0pt2um | number of samples used in calculation of PP rate mean and standard deviation | unitless |
PP_mean_750uatm_pco2_gt_0pt2um | mean 14C-Primary Production rate from 0.2 micron filters, incubated at 750 microatm pCO2 | micromol C/liter/day |
PP_std_dev_750uatm_pco2_gt_0pt2um | standard deviation of 14C-Primary Production rate from 0.2 micron filters, incubated at 750 microatm pCO2 | micromol C/liter/day |
Dataset-specific Instrument Name | |
Generic Instrument Name | CTD - profiler |
Generic Instrument Description | The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.
This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934. |
Dataset-specific Instrument Name | Perkin Elmer 2600 liquid scintillation counter |
Generic Instrument Name | Liquid Scintillation Counter |
Generic Instrument Description | Liquid scintillation counting is an analytical technique which is defined by the incorporation of the radiolabeled analyte into uniform distribution with a liquid chemical medium capable of converting the kinetic energy of nuclear emissions into light energy. Although the liquid scintillation counter is a sophisticated laboratory counting system used the quantify the activity of particulate emitting (ß and a) radioactive samples, it can also detect the auger electrons emitted from 51Cr and 125I samples. |
Website | |
Platform | R/V Kilo Moana |
Report | |
Start Date | 2011-03-12 |
End Date | 2011-03-23 |
Website | |
Platform | R/V Kilo Moana |
Report | |
Start Date | 2010-08-20 |
End Date | 2010-08-30 |
Description | Cruise information and original data are available from the NSF R2R data catalog. |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2012-08-22 |
End Date | 2012-09-11 |
Description | In the summer of 2012, C-MORE conducted a "continuous" long-term field experiment at Station ALOHA to observe and interpret temporal variability in microbial processes, and the consequences for ecological dynamics and biogeochemical cycling. Special focus was given to time-space coupling because proper scale sampling of the marine environment is an imperative, but generally neglected aspect of marine microbiology.
Hawaii Ocean Experiment - Dynamics of Light and Nutrients (HOE-DYLAN) |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2010-09-02 |
End Date | 2010-09-02 |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2010-10-02 |
End Date | 2010-10-06 |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2011-01-08 |
End Date | 2011-01-10 |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2011-02-27 |
End Date | 2011-03-03 |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2011-04-10 |
End Date | 2011-04-14 |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2010-08-06 |
End Date | 2010-08-10 |
The North Pacific Subtropical Gyre (NPSG) is the largest ocean ecosystem on Earth, playing a prominent role in global carbon cycling and forming an important reservoir of marine biodiversity. Nitrogen (N2) fixing bacteria (termed diazotrophs) provide a major source of new nitrogen to the oligotrophic waters of the NPSG, thereby exerting direct control on the carbon cycle. Oceanic uptake of CO2 causes long-term changes in the partial pressure of CO2 (pCO2) in the seawater of this ecosystem. Therefore, understanding how carbon system perturbations may influence ocean biogeochemistry is an important and timely undertaking.
In this project, the investigators will examine how natural assemblages of N2 fixing microorganisms respond to perturbations in seawater carbon chemistry. Laboratory and field-based experiments will be placed in the context of monthly time series measurements on the activities and abundances of N2 fixing microorganism abundances. Together, the project will provide insight into the dependence of N2 fixing microorganism physiology on variations in CO2. The broad objectives of the research are: (1) Quantify the responses and consequences of changes in seawater pCO2 on the growth and community structure of naturally-occurring assemblages of ocean diazotrophs; (2) Identify why and how changes in seawater pCO2 influence the growth and carbon acquisition strategies of two model marine diazotrophs (Trichodesmium and Crocosphaera); and (3) Quantify temporal variability in diazotroph community structure and activities at Station ALOHA.
This is a Collaborative Research award.
The Ocean Carbon and Biogeochemistry (OCB) program focuses on the ocean's role as a component of the global Earth system, bringing together research in geochemistry, ocean physics, and ecology that inform on and advance our understanding of ocean biogeochemistry. The overall program goals are to promote, plan, and coordinate collaborative, multidisciplinary research opportunities within the U.S. research community and with international partners. Important OCB-related activities currently include: the Ocean Carbon and Climate Change (OCCC) and the North American Carbon Program (NACP); U.S. contributions to IMBER, SOLAS, CARBOOCEAN; and numerous U.S. single-investigator and medium-size research projects funded by U.S. federal agencies including NASA, NOAA, and NSF.
The scientific mission of OCB is to study the evolving role of the ocean in the global carbon cycle, in the face of environmental variability and change through studies of marine biogeochemical cycles and associated ecosystems.
The overarching OCB science themes include improved understanding and prediction of: 1) oceanic uptake and release of atmospheric CO2 and other greenhouse gases and 2) environmental sensitivities of biogeochemical cycles, marine ecosystems, and interactions between the two.
The OCB Research Priorities (updated January 2012) include: ocean acidification; terrestrial/coastal carbon fluxes and exchanges; climate sensitivities of and change in ecosystem structure and associated impacts on biogeochemical cycles; mesopelagic ecological and biogeochemical interactions; benthic-pelagic feedbacks on biogeochemical cycles; ocean carbon uptake and storage; and expanding low-oxygen conditions in the coastal and open oceans.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |